The AI-Rad Companion family supports radiologists, radiation oncologists, radiotherapists and medical physicists through automated post processing of MRI, CT and X-ray datasets. It saves the clinicians' time and helps them to increase their diagnostic precision.
The complex form of machine learning DLIR (Deep Learning Image Reconstruction) is based on a deep neuronal network which is similar to the human brain. The artificial neurons of this network learn according to their biological model through intensive training. For the DLIR image reconstruction, the network is fed with sample data from phantom images on the one hand and high-resolution images of…
Thales’ expert knowledge in digital technology as well as in hardware and software systems has enabled the company to become a market leader in major innovation fields such as the cloud, connectivity and artificial intelligence. Thales is proud to launch its unique Connected Radiology platform which will bring multiple benefits to the efficiency of hospitals through the non-stop use of…
Luis Martí-Bonmatí, Director of the Medical Imaging Department at La Fe Hospital in Valencia, highlighted the need to assess utility when developing AI tools during ECR 2020. Artificial intelligence (AI) can impact and improve many aspects of clinical practice. But current expectations are too great and need to be toned down by looking at opportunities.
Artificial Intelligence is an essential tool for the healthcare operators on the front line in the fight against the Coronavirus pandemic. ASST Vimercate Hospital chose and implemented in the midst of the COVID-19 emergency REiLI, Fujifilm Medical Systems’ Artificial Intelligence.
In a collaboration between Google Brain, Intel Corporation and the University of California, Berkeley, researchers have 'trained' robots to mimic surgical procedures through the use of instructional videos.
Understanding the source and network of signals as the brain functions is a central goal of brain research. Now, Carnegie Mellon engineers have created a system for high-density EEG imaging of the origin and path of normal and abnormal brain signals.
An algorithm that analyses MRI images and automatically detects small changes in knee joints over time could be used in the development of new treatments for arthritis. A team of engineers, radiologists and physicians, led by the University of Cambridge, developed the algorithm, which builds a three-dimensional model of an individual’s knee joint in order to map where arthritis is affecting the…
A new machine learning approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report in the journal IEEE Access. Scientists in India and Japan, including from Kyoto University’s Institute for Integrated Cell-Material Sciences (iCeMS), developed the method to help clinicians choose the most effective treatment strategy for individual…
Computer scientists working with pathologists have trained an artificial intelligence (AI) tool to determine which patients with lung cancer have a higher risk of their disease coming back after treatment. The AI tool was able to differentiate between immune cells and cancer cells, enabling researchers to build a detailed picture of how lung cancers evolve in response to the immune system in…
Tissue biopsy slides stained using hematoxylin and eosin (H&E) dyes are a cornerstone of histopathology, especially for pathologists needing to diagnose and determine the stage of cancers. A research team led by MIT scientists at the Media Lab, in collaboration with clinicians at Stanford University School of Medicine and Harvard Medical School, now shows that digital scans of these biopsy…
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries. The researchers, from the University of Cambridge and Imperial College London, have clinically validated and tested the AI on large sets of CT scans and found that it was successfully able to detect, segment, quantify and differentiate different types of brain lesions. Their results,…
Establishing whether a patient is suffering from severe lung disease, possibly COVID-19, within a few minutes: this is possible using fairly simple ultrasound machines that are enhanced with artificial intelligence. A research team at Eindhoven University of Technology (TU/e) and the University of Trento in Italy has been able to translate the expertise of top lung specialists into a software…
Machine learning and AI are highly unstable in medical image reconstruction, and may lead to false positives and false negatives, a new study suggests. A team of researchers, led by the University of Cambridge and Simon Fraser University, designed a series of tests for medical image reconstruction algorithms based on AI and deep learning, and found that these techniques result in myriad…
Computed tomography (CT) is one of the most effective medical tests for analysing the effects of many illnesses, including COVID-19, on the lungs. An international team led by the Universitat Oberta de Catalunya (UOC) has developed a new method that improves the quality of the images obtained from CT scans. The algorithm, which has been tested on simulated data, enables them to distinguish…
Researchers at King’s College London, Massachusetts General Hospital and health science company ZOE have developed an artificial intelligence (AI) diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms. Their findings are published in Nature Medicine. The AI model uses data from the COVID Symptom Study app to predict COVID-19 infection, by comparing…
Bringing molecular and digital pathology closer together through a more integrative approach can lead to clear advantages for diagnostic and research workflows. During the recent Digital Pathology and AI Congress (London), Professor Viktor Koelzer explored the benefits and paid particular attention to colorectal cancer (CRC).
Researchers at Northwestern University are using artificial intelligence (AI) to speed up the search for COVID-19 treatments and vaccines. The AI-powered tool makes it possible to prioritize resources for the most promising studies — and ignore research that is unlikely to yield benefits. In the midst of the pandemic, scientific research is being conducted at an unprecedented rate. The Food and…
Artificial intelligence (AI) may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart. Researchers at Uppsala University and heart specialists in Brazil have developed an AI that automatically diagnoses atrial fibrillation and five other common ECG abnormalities just as well as a cardiologist. The study has been published in Nature…
Coronavirus can be identified automatically from sick patients’ lung X-rays using artificial intelligence (AI) developed at Brunel University London.
Hospitals and organizations worldwide joined forces with AI imaging company icometrix in a global initiative to leverage artificial intelligence (AI) in the fight against COVID-19. The multinational collaboration resulted in the development of an AI algorithm, icolung, which received CE-marking for clinical use in Europe. icolung is the first CE-marked AI solution for CT resulting from a…
A computational lung model can be used to reduce damage caused by mechanical ventilation – and could increase survival rates for patients significantly.
NEC Corporation announced analysis results from efforts using AI prediction platforms to design blueprints for SARS-CoV-2 vaccines that can drive potent T-cell responses in the majority of the global population. This initiative by the scientific teams within the NEC Group to help combat outbreaks of COVID-19 and support international vaccine development efforts is led by NEC OncoImmunity (NOI) in…
SymphonyAI Group, an operating group of leading business-to-business AI companies, announced the acquisition of TeraRecon, the market-leading advanced visualization and AI solution provider for medical imaging. As SymphonyAI Group’s seventh portfolio company, TeraRecon has a charter to establish a new portfolio of healthcare AI solutions focused on medical imaging. Using newly patented AI and…
Many studies claiming that artificial intelligence (AI) is as good as (or better than) human experts at interpreting medical images are of poor quality and are arguably exaggerated, posing a risk for the safety of ‘millions of patients’ warn researchers in The BMJ. Their findings raise concerns about the quality of evidence underpinning many of these studies, and highlight the need to improve…
